Evidence map›Paper›PMID 22514288›Full record

ArticleJournal of neurophysiology2012

A distributed, dynamic, parallel computational model: the role of noise in velocity storage.

Faisal Karmali, Daniel M Merfeld

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. How Peripheral Vestibular Damage Affects Velocity Storage: a Causative Explanation.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Article
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  6. Review
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  8. Article
  9. Simple spike dynamics of Purkinje cells in the macaque vestibulo-cerebellum during passive whole-body self-motion.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Perception of threshold-level whole-body motion during mechanical mastoid vibration.Journal of vestibular research : equilibrium & orientation · 2018
    Article
  19. Article
  20. The Impact of Oral Promethazine on Human Whole-Body Motion Perceptual Thresholds.Journal of the Association for Research in Otolaryngology : JARO · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Faisal KarmaliJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, and Department of Otology and Laryngology, Harvard Medical School, Boston, MA 02114, USA. faisal_karmali@yahoo.com
Daniel M Merfeld
Harvard University · US

Funding

Vestibular thresholds, including psychophysical response dynamicsR01DC004158 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERFELD, DANIEL M · 1999 to 2013
$4.9M
Orchestra: A high performance biomedical supercomputing collaborativeS10RR028832 · NCRR · HARVARD MEDICAL SCHOOL · PI DANUSER, GAUDENZ · 2010 to 2010
$3.7M
NCRR NIH HHS 1-S10-RR-028832NIDCD NIH HHS DC0-4158NIDCD NIH HHS R01 DC004158
6 · The paper itself

Abstract

Networks of neurons perform complex calculations using distributed, parallel computation, including dynamic "real-time" calculations required for motion control. The brain must combine sensory signals to estimate the motion of body parts using imperfect information from noisy neurons. Models and experiments suggest that the brain sometimes optimally minimizes the influence of noise, although it remains unclear when and precisely how neurons perform such optimal computations. To investigate, we created a model of velocity storage based on a relatively new technique--"particle filtering"--that is both distributed and parallel. It extends existing observer and Kalman filter models of vestibular processing by simulating the observer model many times in parallel with noise added. During simulation, the variance of the particles defining the estimator state is used to compute the particle filter gain. We applied our model to estimate one-dimensional angular velocity during yaw rotation, which yielded estimates for the velocity storage time constant, afferent noise, and perceptual noise that matched experimental data. We also found that the velocity storage time constant was Bayesian optimal by comparing the estimate of our particle filter with the estimate of the Kalman filter, which is optimal. The particle filter demonstrated a reduced velocity storage time constant when afferent noise increased, which mimics what is known about aminoglycoside ablation of semicircular canal hair cells. This model helps bridge the gap between parallel distributed neural computation and systems-level behavioral responses like the vestibuloocular response and perception.

Indexed as

Models, NeurologicalModels, StatisticalAnimalsBrainComputer SimulationHumansMotion PerceptionMovementNerve NetSignal-To-Noise RatioVestibule, Labyrinth

Identifiers

PMID22514288
PMCPMC3404789
OpenAlexW2075902353

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.